Disaster Recovery and Incident Response
The mastery of techniques for system restoration post-security breaches, ensuring business continuity and maintaining rapid response capabilities to security incidents.
Faculty of
Computers and
الذكاء الاصطناعي
رؤية الكلية
The Faculty's Leadership in academic education, scientific and applied research in the fields of computing, informatics and artificial intelligence to the achievement of the sustainable development goals in Egypt.
رسالة الكلية
تلتزم كلية الحاسبات والذكاء الاصطناعي –بتقديم تعليم وبحث جيد لخلق كوادر ذات قدرة تنافسية عالية من المتخصصين في مجالات المعلوماتية والحوسبة. كما توفر الكلية برامج لبناء القدرات وتقدم استشارات وحلولا تقنية مساهمة منها في التنمية الاجتماعية والاقتصادية.
أهداف الكلية
1.
Preparing specialists in computing and artificial intelligence, and fostering students' practical skills.2.
Enhancing graduates' competencies and boosting the competitive edge of both students and researchers.3.
Continuously developing the capabilities of faculty members and their assistants to keep pace with technological advancements.4.
Providing a benchmark environment and an ideal climate for educational and research processes.5.
Advancing, supporting, and leveraging scientific research to enhance local and regional public and governmental services.6.
Strengthening partnerships and collaborative programs with civil society institutions and environmental development agencies.7.
Committing to the application of quality standards, as well as the periodic evaluation of institutional capacity and educational effectiveness.8.
Developing and introducing innovative, interdisciplinary programs aligned with the dynamic and evolving demands of the labor market.Bachelor's degrees
Upon the recommendation of the Faculty Council, Alamein University grants the Bachelor’s degree in Computers and Artificial Intelligence under the Credit Hour System in one of the following specializations (programs).
الحاسوب وتكنولوجيا المعلومات
| برنامج | Code |
|---|---|
|
Computer Science |
CS |
|
Software Engineering |
SE |
|
Cybersecurity |
CY |
الذكاء الاصطناعي
| برنامج | Code |
|---|---|
|
الذكاء الاصطناعي وعلوم البيانات |
AD |
Additional programs (majors or minors) may be established at the Faculty in the future, in accordance with the provisions of the Private Universities Regulation Law, the Establishment Law of Alamein University, and its Internal Bylaws.
Graduation Requirements
To be awarded the Bachelor’s degree, students must successfully complete 138 credit hours, distributed among General Requirements (University Requirements), Core Requirements (Faculty Requirements), and Specialization Requirements (Major Requirements).
Scientific Departments of the College
The Faculty of Computers and Artificial Intelligence comprises the following scientific departments:
Department of Computers and Information Technology
Department of Artificial Intelligence
Regulatory Provisions:
Future Expansion:
Additional departments may be established within the Faculty in the future, in accordance with the provisions of the Private Universities Regulation Law.
Departmental Jurisdiction:
Each department shall be responsible for teaching and conducting research in the courses falling within its respective discipline. Furthermore, the Faculty shall offer general and foundational courses as part of its curriculum.
Graduate Attributes (Graduate Profile)
The Faculty equips students with the following skills and competencies:
Programming
The proficiency to develop software applications using various programming languages.
Database Design
The ability to design efficient and optimized databases for data storage and retrieval.
Application Development
The capacity to analyze, design, and develop information technology and artificial intelligence applications.
Problem-Solving
Enhancing students' creative and critical thinking capacities to solve complex problems, coupled with the ability to communicate effectively to present innovative solutions.
Teamwork
The ability to collaborate productively within multidisciplinary teams, fostering knowledge and expertise sharing.
Communication
The capability to communicate effectively with various stakeholders, including peers and clients, alongside proficiency in technical presentation, negotiation, and professional communication.
Research and Information Extraction
The competence to conduct research and extract relevant data, enabling them to propose appropriate, data-driven solutions within their field of specialization.
Professional and Ethical Responsibility
A comprehensive understanding of, and adherence to, the ethical, professional, and legal standards governing the profession.
Systems Security Lifecycle
A deep understanding of the design and development lifecycle of secure systems.
Network and Information Security
The mastery of methodologies and techniques for securing networks, systems, and data confidentiality, along with the ability to deliver comprehensive security solutions.
Cyber Defense and Digital Content Protection
The utilization of modern tools and methodologies to counter various types of cyberattacks and safeguard digital content.
Digital Forensics
The deployment of a diverse set of tools and appropriate investigative methodologies to conduct digital forensics across file systems, networks, and mobile devices.
Faculty Overview
The Faculty of Computers and Artificial Intelligence at the Egyptian University of Alamein, located in New Alamein City, is among the inaugural faculties to commence operations at the university. Academic instruction at the faculty is scheduled to begin in the academic year 2026/2027, pursuant to Ministerial Decree No. (………) issued by the Minister of Higher Education on ………, 2026.
Since its inception, the faculty has steadfastly endeavored to serve as a cornerstone for societal and scientific advancement within its region and environment. The faculty fulfills a pivotal educational, research, and community-oriented role by equipping society with the qualified human capital essential for sustainable development. Furthermore, it fosters the entrenchment of ethical values and high cultural ideals, reflecting the status of the Egyptian University of Alamein as a modern institution and a key pillar of private higher education.
The Faculty of Computers and Artificial Intelligence firmly believes that its scope extends far beyond the mere instruction of computer sciences. It maintains that the mission of a university professor transcends delivering lectures to encompassing the cultivation of core values and skills. This includes instilling a deep awareness of the critical role of technology in the upcoming phase as a pathway to success and a means to elevate an education system built on strategic foundations and goals that benefit society.
In light of this vision, the internal bylaws of the Faculty of Computers and Artificial Intelligence have been meticulously structured in accordance with the latest contemporary practices and the demands of both current and future labor markets. This framework addresses the intensifying local, regional, and international competition, ultimately serving the objectives of sustainable development and the Egypt Vision 2030.
College Admission Requirements
The Faculty of Computers and Artificial Intelligence admits students holding the General Secondary Education Certificate (Thanaweiya Amma) – Mathematics and Science tracks – or its official equivalent, in accordance with the terms and conditions prescribed by the University Council.
Regulatory Provisions & Prerequisites:
Remedial Mathematics Requirement:
Students admitted from the Science track shall be required to complete a remedial/preparatory Mathematics course.
Regulatory Compliance:
All admissions shall strictly comply with the regulations and guidelines approved by the Ministry of Higher Education, represented by the Council of Private and National Universities.
Transfer Regulations from Equivalent Colleges or Higher Institutes
A. Credit Transfer and Course Exemption:
The Faculty accepts transfer students from equivalent colleges or higher institutes. Transfer students may be exempted from taking examinations in certain courses that are equivalent to the Faculty’s curriculum, provided they have successfully passed those courses at their institution of origin. This exemption is subject to an academic credit evaluation (course mapping) conducted by the relevant scientific departments. The exemption becomes effective upon the approval of both the Faculty Council and the Education and Student Affairs Council, with a delegation granted to the College Dean to ratify the academic credit evaluations.
B. Maximum Transferable Credits:
Students may transfer to the Faculty, and a credit evaluation shall be performed for the courses successfully completed at the institution of origin. The total exempted credits shall not exceed 50% of the total graduation requirements needed to obtain a Bachelor’s degree from the Faculty (up to a maximum of 67 credit hours).
C. Cumulative Grade Point Average (CGPA) Calculation:
For transfer students admitted to a credit-hour program, the Cumulative Grade Point Average (CGPA) shall be calculated exclusively based on the courses completed under the framework of this specific program. No previous coursework completed under a credit-hour system at any other university, or under a two-semester (traditional) system at either the home or any other university, shall be factored into the CGPA calculation. In all cases, an academic credit evaluation shall be conducted to count approved courses toward graduation requirements, without including them in the student's CGPA.
Grade Equivalence Table for Transferring from a Semester System to a Credit-Hour System
💡 المصطلحات الأكاديمية المستخدمة (Key Academic Terms):
• المقاصة العلمية: Academic Credit Evaluation / Course Mapping.
• الكلية/المعهد المحول منه: Institution of Origin.
• المعدل التراكمي: CGPA (Cumulative Grade Point Average).
• إعفاء: Exemption / Exempted.
• تعديل النقاط والتقديرات: Grade Equivalence.
| Percentage Score | Grade Points | Letter Grade |
|---|---|---|
|
95% and above |
4.0 |
A+ |
|
90% to less than 95% |
4.0 |
A |
|
85% to less than 90% |
3.7 |
A- |
|
80% to less than 85% |
3.3 |
B+ |
|
75% to less than 80% |
3.0 |
B |
|
71% to less than 75% |
2.7 |
B- |
|
68% to less than 71% |
2.3 |
C+ |
|
65% to less than 68% |
2.0 |
C |
|
60% to less than 65% |
1.7 |
C- |
|
55% to less than 60% |
1.3 |
D+ |
|
50% to less than 55% |
1.0 |
D |
|
Less than 50% |
0.0 |
F |